Aimsun Live is a vehicle-based simulation decision support system, complemented with predictive analytics system, for real-time traffic forecasting and management.

The Aimsun team first developed a baseline model of the selected area in an “offline” environment, drawing initial network parameters, traffic signal plans, public transport information and traffic demand matrices from LTA’s existing asset management systems and strategic planning models. Detailed calibration and validation were carried out at mesoscopic level, as well as at microscopic level, where necessary, before connecting to Aimsun Live, using historical traffic data to create a pseudo realtime environment for “live” traffic simulation and prediction.

To assess the full capabilities of Aimsun Live as a decision support tool, the Aimsun team worked very closely with different user groups in LTA to define a range of events/ incidents and their respective actual and possible alternative traffic management response plans, to understand the model’s response to different situations in real-time.

This is also the first trial to link Aimsun Live to SCATSim in Singapore to emulate the actual adaptive traffic signal control of the SCATS system, for a more accurate representation of the real-time traffic signal operations.